Image Restoration with Signal-dependent Camera Noise

Computer Science – Computer Vision and Pattern Recognition

Scientific paper

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6 pages, 3 figures, 2 tables

Scientific paper

This article describes a fast iterative algorithm for image denoising and
deconvolution with signal-dependent observation noise. We use an optimization
strategy based on variable splitting that adapts traditional Gaussian
noise-based restoration algorithms to account for the observed image being
corrupted by mixed Poisson-Gaussian noise and quantization errors.

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